Tachyus Partners With Texas A&M To Provide Students With Technology
The partnership between the software company and Texas A&M’s Department of Petroleum Engineering provides students with access to software that can enhance reservoir research with machine learning.
Tachyus, a provider of data-driven production-optimization software to the oil and gas industry, has announced a partnership with Texas A&M University’s Department of Petroleum Engineering to deliver its technology to students, faculty, and researchers. Through the partnership, graduate and PhD students within the petroleum engineering department will have access to Tachyus’ platform, which provides modeling and optimization techniques that combine machine learning with reservoir physics.
“Tachyus enables engineers, and now our students, to explore production-optimization scenarios and recognize optimal operational and development plans,” said Jeff Spath, department head chair in petroleum engineering at Texas A&M University and 2014 SPE president. “Ultimately, this exposure to real data solutions and forecasting models will further our student’s value, experience, and knowledge as they enter the working world.”
Several of the applications within Tachyus’ platform are designed to model and optimize enhanced-oil-recovery processes including waterflooding and CO2 flooding. They allow the prediction of thousands of outcomes in minutes, allowing reservoir engineers to increase production and cut operating costs. Other applications are designed for oil and gas production optimization such as surface and subsurface back allocation, decline-curve analysis, and the analysis of optimal infill-drilling locations.
Tachyus said it expects to work closely with students to identify their specific needs in order to provide specific applications. “Our hope is to provide students the opportunity to further their industry knowledge and be part of the digital transformation movement,” said Fernando Gutierrez, Tachyus’s chief executive officer. “Our platform aims to be a tool that allows students, early on, to become accustomed to modeling and optimization software so that, upon entering the workforce, they are acquainted and open to a technology-forward solution.”